Triple

T11736616
Position Surface form Disambiguated ID Type / Status
Subject Waltham Cross railway station E279042 entity
Predicate serves P98 FINISHED
Object Waltham Cross E279042 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Waltham Cross | Statement: [Waltham Cross railway station, serves, Waltham Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waltham Cross
Context triple: [Waltham Cross railway station, serves, Waltham Cross]
  • A. Waltham Cross chosen
    Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
  • B. Hoddesdon
    Hoddesdon is a historic market town in southern England known for its traditional high street, commuter links to London, and proximity to the River Lea.
  • C. Radlett
    Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
  • D. Croxley Green
    Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
  • E. Kentish Town
    Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f668479b188190ae720e77fbf6897f completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:41 p.m.